Detection and classification of volatile compounds emitted by three fungi-infected citrus fruit using gas chromatography-mass spectrometry

[Display omitted] •Volatile compounds of flesh and peel tissues of citrus fruit were detected.•PCA and PLS-DA were applied to classify the volatile compounds.•Eight volatile compounds as biomarkers were identified in stem-end rot fruit.•The alpha-guajene as biomarker was screened in green mold rot f...

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Veröffentlicht in:Food chemistry 2023-06, Vol.412, p.135524-135524, Article 135524
Hauptverfasser: Wu, Jue, Cao, Jinping, Chen, Jiebiao, Huang, Lingxia, Wang, Yue, Sun, Cui, Sun, Chongde
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container_end_page 135524
container_issue
container_start_page 135524
container_title Food chemistry
container_volume 412
creator Wu, Jue
Cao, Jinping
Chen, Jiebiao
Huang, Lingxia
Wang, Yue
Sun, Cui
Sun, Chongde
description [Display omitted] •Volatile compounds of flesh and peel tissues of citrus fruit were detected.•PCA and PLS-DA were applied to classify the volatile compounds.•Eight volatile compounds as biomarkers were identified in stem-end rot fruit.•The alpha-guajene as biomarker was screened in green mold rot fruit. Citrus fruit produced some characteristic volatile compounds when infected by fungi compared with the healthy fruit. In the present study, volatile metabolites of postharvest citrus fruit with three different diseases including stem-end rot, blue mold and green mold were detected. Multivariate analysis such as principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were employed to classify the volatile compounds between the infected and non-infected citrus fruit. The results indicated that volatile compounds of unrotten, unrotten-rotten junction, and rotten tissues were successfully classified. Importantly, eight volatile compounds as biomarkers for stem-end rot and one biomarker for green mold of citrus were screened to discriminate the infected citrus fruit. This study offers the application potential of odor profiling of volatile compounds for detecting the fungi infection in postharvest citrus fruit.
doi_str_mv 10.1016/j.foodchem.2023.135524
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Citrus fruit produced some characteristic volatile compounds when infected by fungi compared with the healthy fruit. In the present study, volatile metabolites of postharvest citrus fruit with three different diseases including stem-end rot, blue mold and green mold were detected. Multivariate analysis such as principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were employed to classify the volatile compounds between the infected and non-infected citrus fruit. The results indicated that volatile compounds of unrotten, unrotten-rotten junction, and rotten tissues were successfully classified. Importantly, eight volatile compounds as biomarkers for stem-end rot and one biomarker for green mold of citrus were screened to discriminate the infected citrus fruit. This study offers the application potential of odor profiling of volatile compounds for detecting the fungi infection in postharvest citrus fruit.</description><identifier>ISSN: 0308-8146</identifier><identifier>EISSN: 1873-7072</identifier><identifier>DOI: 10.1016/j.foodchem.2023.135524</identifier><identifier>PMID: 36736184</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Biomarker ; Citrus - chemistry ; Citrus fruit ; Discriminant Analysis ; Fruit - chemistry ; Fungi ; Fungi - metabolism ; Gas Chromatography-Mass Spectrometry - methods ; Multivariate Analysis ; Volatile compound ; Volatile Organic Compounds - analysis</subject><ispartof>Food chemistry, 2023-06, Vol.412, p.135524-135524, Article 135524</ispartof><rights>2023 Elsevier Ltd</rights><rights>Copyright © 2023 Elsevier Ltd. 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Citrus fruit produced some characteristic volatile compounds when infected by fungi compared with the healthy fruit. In the present study, volatile metabolites of postharvest citrus fruit with three different diseases including stem-end rot, blue mold and green mold were detected. Multivariate analysis such as principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were employed to classify the volatile compounds between the infected and non-infected citrus fruit. The results indicated that volatile compounds of unrotten, unrotten-rotten junction, and rotten tissues were successfully classified. Importantly, eight volatile compounds as biomarkers for stem-end rot and one biomarker for green mold of citrus were screened to discriminate the infected citrus fruit. 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Citrus fruit produced some characteristic volatile compounds when infected by fungi compared with the healthy fruit. In the present study, volatile metabolites of postharvest citrus fruit with three different diseases including stem-end rot, blue mold and green mold were detected. Multivariate analysis such as principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were employed to classify the volatile compounds between the infected and non-infected citrus fruit. The results indicated that volatile compounds of unrotten, unrotten-rotten junction, and rotten tissues were successfully classified. Importantly, eight volatile compounds as biomarkers for stem-end rot and one biomarker for green mold of citrus were screened to discriminate the infected citrus fruit. 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source MEDLINE; ScienceDirect Journals (5 years ago - present)
subjects Biomarker
Citrus - chemistry
Citrus fruit
Discriminant Analysis
Fruit - chemistry
Fungi
Fungi - metabolism
Gas Chromatography-Mass Spectrometry - methods
Multivariate Analysis
Volatile compound
Volatile Organic Compounds - analysis
title Detection and classification of volatile compounds emitted by three fungi-infected citrus fruit using gas chromatography-mass spectrometry
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